Shadow Algorithms Data Miner

With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows.

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Author: Andrew Woo

Publisher: CRC Press

ISBN: 9781439880234

Category: Computers

Page: 268

View: 661

Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation. With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.

Real Time Rendering Fourth Edition

Our focus in this chapter is on basic principles and what qualities a shadow algorithm needs—predictable quality and ... Woo and Poulin's book Shadow Algorithms Data Miner [1902] provides an overview of a wide range of shadow algorithms ...

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Author: Tomas Akenine-Mo ̈ller

Publisher: CRC Press

ISBN: 9781351816151

Category: Computers

Page: 1198

View: 620

Thoroughly updated, this fourth edition focuses on modern techniques used to generate synthetic three-dimensional images in a fraction of a second. With the advent of programmable shaders, a wide variety of new algorithms have arisen and evolved over the past few years. This edition discusses current, practical rendering methods used in games and o

Advanced Data Mining and Applications

Shadow features can be incrementally extended such that the classification model learns incrementally as data streams in. In contrast, feature transformation ... They can be implemented by any suitable software/hardware and algorithms.

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Author: Jinyan Li

Publisher: Springer

ISBN: 9783319495866

Category: Computers

Page: 817

View: 833

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held in Gold Coast, Australia, in December 2016. The 70 papers presented in this volume were carefully reviewed and selected from 105 submissions. The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.

Knowledge Discovery Practices and Emerging Applications of Data Mining Trends and New Domains

T1 Value of Abort Activate Add Shadow T2 T and 2 in execution sends Delete CTD (T YES-VOTE T 1 2 ). of from T2 with ADS message its (T shadow. 1). piggy bagged with the new result to its coordinator. Algorithm On the basis of above ...

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Author: Kumar, A.V. Senthil

Publisher: IGI Global

ISBN: 9781609600693

Category: Computers

Page: 414

View: 162

Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Application of Intelligent Systems in Multi modal Information Analytics

5 Conclusion Data mining is now widely used in business, but its application in the education industry is still in its infancy, ... Zhifu Times (B396(06)), 108–108 (2018) A Review of Shadow Elimination Algorithms Bo Yu( B ), Data Mining ...

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Author: Vijayan Sugumaran

Publisher: Springer Nature

ISBN: 9783030748142

Category: Artificial intelligence

Page: 944

View: 470

This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The contributions cover a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals, and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 2021 International Conference on Multi-modal Information Analytics, held in Huhehaote, China, on April 23-24, 2021.

Cloud Computing Security Privacy in New Computing Environments

The information of shadow database is also available for analyzing and adopting in some types of data mining algorithms. We can get effective mining results both from the original database to the shadow one. Fig. 1.

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Author: Jiafu Wan

Publisher: Springer

ISBN: 9783319696058

Category: Computers

Page: 240

View: 885

This book constitutes the refereed proceedings of the 7th International Conference on Cloud Computing, Security, Privacy in New Computing Environments, CloudComp 2016, and the First EAI International Conference SPNCE 2016, both held in Guangzhou, China, in November and December 2016.The proceedings contain 10 full papers selected from 27 submissions and presented at CloudComp 2016 and 12 full papers selected from 69 submissions and presented at SPNCE 2016. CloudComp 2016 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. SPNCE 2016 focuses on security and privacy aspects of new computing environments including mobile computing, big data, cloud computing and other large-scale environments.

Network Algorithms Data Mining and Applications

8(1), 33–37 (1997) Kelly, F.P., Maulloo, A.K., Tan, D.K.: Rate control for communication networks: shadow prices, ... Tutorials 10(4), (2008) Pan, D., Yang, Y.: Max-min fair bandwidth allocation algorithms for packet switches.

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Author: Ilya Bychkov

Publisher: Springer Nature

ISBN: 9783030371579

Category: Mathematics

Page: 244

View: 959

This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Emerging Technologies in Data Mining and Information Security

Satyajeet Singh, Sandeep Yadav, Antoreep Jana, and Seba Susan Abstract The objective of this paper is shadow detection. We propose a novel semantic segmentation approach based on DenseUNet. The UNet is an encoder–decoder architecture ...

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Author: Aboul Ella Hassanien

Publisher: Springer Nature

ISBN: 9789811599279

Category:

Page:

View: 244

Behavior Engineering and Applications

Then, in reference [13], it presents an algorithm that combines shadow and region texture information for shadow detection. ... unlike theirs, our shadow feature method that is used in data mining as a form of feature transformation.

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Author: Raymond Wong

Publisher: Springer

ISBN: 9783319764306

Category: Business & Economics

Page: 240

View: 654

Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. Behavior Engineering and Applications encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering. This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering.

Transparent Data Mining for Big and Small Data

Indeed, it is difficult to regain a degree of control over a large part of data used by algorithms or by the models they create ... Similarly, and where algorithms' functioning remains unveiled by the shadow of trade secrets protection, ...

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Author: Tania Cerquitelli

Publisher: Springer

ISBN: 9783319540245

Category: Computers

Page: 215

View: 671

This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.

Knowledge Discovery and Data Mining

material models that determine the ability of an object surface to reflect and transmit light, and texture models that display details of the object surface; ray geometric models, color models, illumination models, radiosity algorithms ...

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Author: Honghua Tan

Publisher: Springer Science & Business Media

ISBN: 9783642277085

Category: Technology & Engineering

Page: 798

View: 310

The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.

Advances in Data Mining

... and Telecommunications; 4th Industrial Conference on Data Mining, ICDM 2004, Leipzig, Germany, July 4-7, 2004, ... Resource Estimation and Call Admission Algorithm for Wireless Multimedia Networks using the Shadow Cluster Concepts.

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Author: Petra Perner

Publisher: Springer Science & Business Media

ISBN: 9783540240549

Category: Computers

Page: 176

View: 327

The Industrial Conference on Data Mining ICDM-Leipzig was the fourth meeting in a series of annual events which started in 2000, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig. The mission of the conference is to bring together researchers and people from industry in order to discuss together new trends and applications in data mining. This year a broad spectrum of work of different applications was presented ranging from image mining, medicine and biotechnology, management and environmental control, to telecommunications. Besides that an industrial exhibition showed the successful application of data mining methods by industries in different areas such as medical devices, mass data management systems, data mining tools, etc. During the discussion many projects were inspired leading to new and joint work. The fruitful discussions, the exchange of ideas and the spirit of the conference made it a remarkable event for both sides, industry and research. We would like to express our appreciation to the reviewers for their precise and highly professional work. We appreciate the help and understanding of the editorial staff at Springer and in particular Alfred Hofmann, who supported the publication of these proceedings in the LNAI series. Last, but not least, we wish to thank all speakers, participants and industrial exhibitors who contributed to the success of the conference. We are looking forward to welcoming you to ICDM 2005 (www.data-mini- forum.de) and to the new work you will present there.

Challenges in Computational Statistics and Data Mining

In fact, by applying multi-objective evolutionary algorithms to the proposed model, the solutions found represent points ... Let us start with providing some background information on linear programming, the concept of shadow price, ...

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Author: Stan Matwin

Publisher: Springer

ISBN: 9783319187815

Category: Technology & Engineering

Page: 399

View: 226

This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors’ contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book’s related and often interconnected topics, represent Jacek Koronacki’s research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.

Visual Data Mining

The SVM algorithm searches for “gaps” between clusters in the data, which is similar to how we cluster data using visual ... data. However, because tours are defined as projections (analogous to an object shadow) rather than slices, ...

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Author: Simeon Simoff

Publisher: Springer Science & Business Media

ISBN: 9783540710790

Category: Computers

Page: 406

View: 513

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.

Methodologies for Knowledge Discovery and Data Mining

The Visualization component presents the data to the user by using the dierent predened metaphors such as color, shape, shadow, texture, etc. to represent dierent items of data and arranging the physical layout on the screen.

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Author: Ning Zhong

Publisher: Springer

ISBN: 9783540489122

Category: Computers

Page: 540

View: 196

This book constitutes the refereed proceedings of the Third Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD '99, held in Beijing, China, in April 1999. The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization; causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies.

Proceedings of the Fifth SIAM International Conference on Data Mining

To collect the data necessary for mining configuration spaces , the engineer either performs a costly Monte Carlo ... of data for function approximation purposes ( 24 ) , or are meant to be used with specific data mining algorithms ...

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Author: Hillol Kargupta

Publisher: SIAM

ISBN: 0898715938

Category: Mathematics

Page: 648

View: 450

The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.

Machine Learning and Data Mining in Pattern Recognition

Table 3lists the reported identification rates foreight algorithms on eight commonly reported experiments. ... These data are noisy, e.g., missing ofbody parts, small holes inside the objects, severe shadow around feet, ...

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Author: Petra Perner

Publisher: Springer Science & Business Media

ISBN: 9783540734987

Category: Computers

Page: 916

View: 859

Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out. This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007. The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections.

Data Mining and Mathematical Programming

Table 7 summarizes the performance of the two algorithms for the ducky image when k from 2 to 7. It can be seen that the values of the ... In addition , SDPCut also gave a clearer shape of the shadow of the cloth than Ncut when k = 8.

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Author: Panos M. Pardalos

Publisher: American Mathematical Soc.

ISBN: 0821870408

Category: Computers

Page: 234

View: 269

Data mining aims at finding interesting, useful or profitable information in very large databases. The enormous increase in the size of available scientific and commercial databases (data avalanche) as well as the continuing and exponential growth in performance of present day computers make data mining a very active field. In many cases, the burgeoning volume of data sets has grown so large that it threatens to overwhelm rather than enlighten scientists. Therefore, traditional methods are revised and streamlined, complemented by many new methods to address challenging new problems. Mathematical Programming plays a key role in this endeavor. It helps us to formulate precise objectives (e.g., a clustering criterion or a measure of discrimination) as well as the constraints imposed on the solution (e.g., find a partition, a covering or a hierarchy in clustering). It also provides powerful mathematical tools to build highly performing exact or approximate algorithms. This book is based on lectures presented at the workshop on "Data Mining and Mathematical Programming" (October 10-13, 2006, Montreal) and will be a valuable scientific source of information to faculty, students, and researchers in optimization, data analysis and data mining, as well as people working in computer science, engineering and applied mathematics.

Advances in Knowledge Discovery and Data Mining

1 First Shot (击) First Shot (击) First Shot (击) 2 Rapid Fire (击) Snow Angels (∗) Snow Angels (∗) 3 Black Dawn (击) Rapid Fire (击) Rapid Fire (击) 4 Shadow Man (击) iss Potter (∗) Black Dawn (击) Count #Action=4 #Drama=0 #Action=2 ...

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Author: Dinh Phung

Publisher: Springer

ISBN: 9783319930404

Category: Computers

Page: 835

View: 190

This three-volume set, LNAI 10937, 10938, and 10939, constitutes the thoroughly refereed proceedings of the 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018, held in Melbourne, VIC, Australia, in June 2018. The 164 full papers were carefully reviewed and selected from 592 submissions. The volumes present papers focusing on new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications.

Soft Computing and Medical Bioinformatics

Clustering is a well-known data mining technique which is used for grouping the objects/data points of similar ones in to ... Image segmentation is a crucial step for some state-of-the-art algorithms mainly for understanding high-level ...

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Author: Naresh Babu Muppalaneni

Publisher: Springer

ISBN: 9789811300592

Category: Computers

Page: 139

View: 669

This book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty analysis. It also deals with novel applications of new processing techniques in computer science. This book is useful to both students and researchers from computer science and engineering fields.